NET 1 – Network Slicing for innovative beyond 5G applications

Tuesday, 16 June 2020, 12:15-14:30 CEST, Recommended re-viewing,

Tuesday, 16 June 2020, 12:15-17:00 CEST, Non-Live interaction (Chat),  link sent only to Registered people


Achieving Network Slice Communication Service Distribution Across 5G Micro-Operator Multi-tenants

Idris Badmus (Centre for Wireless Commmunications, University of Oulu, Finland); Abdelquoddouss Laghrissi (Centre for Wireless Communications, University of Oulu, Finland); Ari T. Pouttu (Centre for Wireless Communications University of Oulu, Finland)
Network slicing is the means of logically isolating network capabilities from a “one size fits all” to a set of different slices where each slice is responsible for specific network requirements. In the same light, the micro-operator concept is targeted at local deployment of 5G network for vertical specific services. When a network slice instance (NSI) is created across the access and core network, it is important to understand how the communication service from the created slice instance will be distributed to different tenants and their end-users. In this paper, we propose a network slice communication service distribution technique for local 5G micro-operator deployment scenarios. This is achieved by expanding/leveraging the communication service management function (CSMF) defined by 3GPP into a multi-tenant manager and a communication services orchestrator. We further described how the communication service orchestrator will address all the possible multitenant-slice situations that can exist during the distribution of a network slice instance to multiple tenants. The generic technique introduced in this paper will proffer a researchable solution for not only network slice communication service distribution across different micro-operator’s tenants but pave the way to support future use cases especially when the allocated slice is responsible for multiple tenants or when a tenant is requesting multiple NSIs.


SLA Management Procedures in 5G Slicing-based Systems

Apostolos Papageorgiou (Nokia, Germany); Adriana Fernández-Fernández (Fundació i2CAT, Spain); Leonardo Ochoa-Aday (Fundació i2CAT, Internet i Innovació Digital a Catalunya, Spain); Miguel Silva Peláez (Fundació i2CAT, Spain); Muhammad Shuaib Siddiqui (Fundació i2CAT, Internet i Innovació Digital a Catalunya, Spain)
As is the case for Web services and Cloud services, network slices that are marketed and provisioned in an automated manner need to be accompanied by a Service-Level Agreement (SLA) and the respective platform components, which manage and verify the SLA contents. However, the system complexity of 5G slicing solutions introduces new challenges for the SLA management and verification lifecycle, which are mainly related to the existence of multiple layers (e.g., access vs core network, physical vs virtual infrastructure) and the variability of the definitions and computation methods of high-level Quality-of-Service (QoS) parameters (e.g., availability) in the case of slicing. This paper revises the SLA management-related models and workflows for the case of 5G slicing, focusing on the idea of adaptive QoS parameter computation formulas and flexible mappings of low-level metrics to high-level parameters. The proposed SLA management solution is implemented as part of a 5G slicing platform and evaluated in order to show how it manages higher system complexity without adding significant delays in the identification of SLA violations, with its typical overhead being between 0% and 5%, and its max overhead not exceeding 20% in the tested scenarios.


The Isolation Concept in the 5G Network Slicing

Andres J Gonzalez (Telenor Research, Norway); Jose Ordonez-Lucena (Telefonica I+D, Spain); Bjarne E. Helvik (NTNU – Norwegian University of Science and Technology, Norway); Gianfranco Nencioni (University of Stavanger, Norway); Min Xie (Telenor Research & Telenor Group, Norway); Diego Lopez (Telefonica I+D, Spain); Pål R. Grønsund (Telenor & University of Oslo, Norway)
The fifth generation (5G) of cellular networks shall host a number of tenants and provide services tailored to meet a wide range of requirements in terms of performance, dependability and security. Network slicing will be a key enabler, by assigning dedicated resources and functionalities to meet such requirements, where the isolation between slices, i.e., that a slice may operate without interference from other slices, becomes a core issue. The objective of the paper is to give an outline of the means available to provide various levels of isolation. The means of isolation are presented with respect to two different levels: infrastructure and management. At the infrastructure level, the means of isolation are presented with
respect to the different network domains: radio, transport, datacenter. At the management level, the concepts of provider management and tenant management are introduced. For both levels, the means of isolation are presented with respect to
the different isolation dimensions: performance, dependability, security. The conclusion of the study is that dealing with isolation between slices needs extensions in state of the art on the mentioned concepts, and in how to tailor the isolation to meet the needs in a cost-efficiency manner.


5Growth: AI-driven 5G for Automation in Vertical Industries

Chrysa Papagianni (Nokia Bell Labs, Belgium); Josep Mangues-Bafalluy (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain); Pedro Bermudez (Telcaria, Spain); Sokratis Barmpounakis (University of Athens, Greece); Danny De Vleeschauwer (Nokia, Belgium); Juan Brenes (Nextworks, Italy); Engin Zeydan (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain); Claudio E. Casetti (Politecnico di Torino, Italy); Carlos Guimarães (Universidad Carlos III de Madrid, Spain); Pablo Murillo (Telcaria, Spain); Andres Garcia-Saavedra (NEC Labs Europe, Germany); Daniel Corujo (Instituto de Telecomunicações Aveiro & Universidade de Aveiro, Portugal); Teresa Pepe (Ericsson, Italy)
Spurred by a growing demand for higher-quality mobile services in vertical industries, 5G is integrating a rich set of technologies, traditionally alien to the telco ecosystem, such as machine learning or cloud computing. Despite the initial steps taken in prior research projects in Europe and beyond, additional innovations are needed to support vertical use cases. This is the objective of the 5Growth project: automate vertical support through (i) a portal connecting verticals to 5G platforms (a.k.a. vertical slicer), (ii) closed-loop machine-learning based Service Level Agreement (SLA) control, and (iii) end-to-end optimization. In this paper, we introduce a set of key 5Growth innovations supporting radio slicing, enhanced monitoring and analytics and integration of machine learning.


5G Network Slice Brokering: A Distributed Blockchain-based Market

Nima Afraz (CONNECT Center, Trinity College Dublin, Ireland); Marco Ruffini (CONNECT, Trinity College Dublin, Ireland)
In this paper, we study the business ecosystem around 5G network slice brokering, where a dynamic mechanism conducts multiple trades among resource providers and the network operators, to dynamically provision slices (e.g., in the order of minutes). Then we address a significant and realistic scenario, where there is a lack of trust between market players. This typically occurs when the central slice broker has conflicting interests (e.g., being simultaneously infrastructure provider and virtual operator). We propose a distributed market design, leveraging smart contracts technology, where the brokering mechanism is operated and validated by all of the parties involved. In addition, we use blockchain technology to enable a manipulation-proof record-keeping system, where a record is accepted into the ledger only when all the parties have reached a consensus to do so. We deploy a realistic blockchain application/network hosted on the cloud-based Hyperledger Fabric framework. Finally, we investigate the performance of the blockchain-based slice brokering market in terms of transaction latency, throughput and computing intensity. Our results show that the proposed market could support 100 auction transactions per second with a latency below one second, which would add no considerable delay even to a highly dynamic slicing market mechanism.